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Designing artificial ion channels with strict K+/Na+ selectivity toward next-generation electric-eel-mimetic ionic power generation

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National Science Review 2023年第12期10卷 193-202页

作者： Jipeng Li Linhan Du Xian Kong Jianzhong Wu Diannan Lu Lei Jiang Wei Guo State Key Laboratory of Marine Resource Utilization in South China Sea School of Materials Science and Engineering Hainan University Department of Chemical Engineering Tsinghua University South China Advanced Institute for Soft Matter Science and Technology Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices School of Emergent Soft MatterSouth China University of Technology Department of Chemical and Environmental Engineering University of California research Institute for Frontier Science Beihang University center for Quantum Physics and intelligent Sciences Department of Physics Capital Normal University

A biological potassium channel is> 1000 times more permeable to K+than to Na+and exhibits a giant permeation rate of ～108ions/*** is a great challenge to construct artificial potassium channels with such high sele ctivity and ion conduction ***,we unveil a long-overlo oked structural feature that underpins the ultra-high K+/Na+*** carrying out massive molecular dynamics simulation for ion transport through carbonyl-oxygen-modified bi-layer graphene nanopores,we find that the twisted carbonyl rings enable strict potassium selectivity with a dynamic K+/Na+selectivity ratio of 1295 and a K+conduction rate of 3.5 × 107ions/s,approaching those of the biological ***,atomic trajectories of K+permeation events suggest a dual-ion transport mode,*** like-charged potassium ions are successively captured by the nanopores in the graphene bi-layer and are interconnected by sharing one or two interlayer water *** dual-ion behavior allows rapid release of the exiting potassium ion via a soft knock-on mechanism,which has previously been found only in biological ion *** a proof-of-concept utilization of this discovery,we propose a novel way for ionic power generation by mixing KCl and NaCl solutions through the bi-layer graphene nanopores,termed potassium-permselectivity enabled osmotic power generation(PoPee-OP G).Theoretically,the biomimetic device achieves a very high power density of> 1000 W/m2with graphene sheets of <1% *** study provides a blueprint for artificial potassium channels and thus paves the way toward next-generation electric-eel-mimetic ionic power generation.

关键词： artificial ion channel bi-layer graphene dehydrated ion transport bio-inspired materials energy conversion

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An OP-TEE Energy-Efficient Task Scheduling Approach Based on Mobile Application Characteristics

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intelligent Automation & Soft Computing 2023年第8期37卷 1621-1635页

作者： Hai Wang Xuan Hao Shuo Ji Jie Zheng Yuhui Ma Jianfeng Yang State-Province Joint Engineering and research center of Advanced Networking and intelligent Information Services School of Information Science and TechnologyNorthwest UniversityXi’an710127China

Trusted Execution Environment(TEE)is an important part of the security architecture of modern mobile devices,but its secure interaction process brings extra computing burden to mobile *** paper takes open portable trusted execution environment(OP-TEE)as the research object and deploys it to Raspberry Pi 3B,designs and implements a benchmark for OP-TEE,and analyzes its program ***,the application execution time,energy consumption and energy-delay product(EDP)are taken as the optimization objectives,and the central processing unit(CPU)frequency scheduling strategy of mobile devices is dynamically adjusted according to the characteristics of different applications through the combined *** experimental result shows that compared with the default strategy,the scheduling method proposed in this paper saves 21.18%on average with the Line Regression-Decision Tree scheduling model with the shortest delay as the optimization *** Decision Tree-Support Vector Regression(SVR)scheduling model,which takes the lowest energy consumption as the optimization goal,saves 22%energy on *** Decision Tree-K-Nearest Neighbor(KNN)scheduling model with the lowest EDP as the optimization objective optimizes about 33.9%on average.

关键词： Trusted execution environment energy efficiency optimization CPU scheduling governor machine learning

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Secondary-Atom-Doping Enables Robust Fe-N-C Single-Atom Catalysts with Enhanced Oxygen Reduction Reaction

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Nano-Micro Letters 2020年第11期12卷 281-291页

作者： Xin Luo Xiaoqian Wei Hengjia Wang Wenling Gu Takuma Kaneko Yusuke Yoshida Xiao Zhao Chengzhou Zhu Key Laboratory of Pesticide and Chemical Biology of Ministry of Education International Joint Research Center for Intelligent Biosensing Technology and HealthCollege of ChemistryCentral China Normal UniversityWuhan 430079People’s Republic of China Innovation research center for Fuel Cells The University of Electro-CommunicationsChofugaokaChofuTokyo 182‑8585Japan

Single-atom catalysts(SACs) with nitrogen-coordinated nonprecious metal sites have exhibited inimitable advantages in ***,a large room for improving their activity and durability ***,we construct atomically dispersed Fe sites in N-doped carbon supports by secondary-atom-doped *** the secondary doping,the density and coordination environment of active sites can be efficiently tuned,enabling the simultaneous improvement in the number and reactivity of the active ***,structure optimizations in terms of the enlarged surface area and improved hydrophilicity can be achieved *** to the beneficial microstructure and abundant highly active FeN_5 moieties resulting from the secondary doping,the resultant catalyst exhibits an admirable half-wave potential of 0.81 V versus 0.83 V for Pt/C and much better stability than Pt/C in acidic *** work would offer a general strategy for the design and preparation of highly active SACs for electrochemical energy devices.

关键词： Single-atom catalysts Fe-N-C catalysts Doping Porous nanostructures Oxygen reduction reaction

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Edge enhanced depth perception with binocular meta-lens

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Opto-Electronic Science 2024年第09期 6-16页

作者： Xiaoyuan Liu Jingcheng Zhang Borui Leng Yin Zhou Jialuo Cheng Takeshi Yamaguchi Takuo Tanaka Mu Ku Chen Department of Electrical Engineering City University of Hong Kong Centre for Biosystems Neuroscienceand Nanotechnology City University of Hong Kong The State Key Laboratory of Terahertz and Millimeter Waves and Nanotechnology City University of Hong Kong Innovative Photon Manipulation research Team RIKEN Center for Advanced Photonics Metamaterial Laboratory RIKEN Cluster for Pioneering Research Institute of Post-LED Photonics Tokushima University

The increasing popularity of the metaverse has led to a growing interest and market size in spatial computing from both academia and industry. Developing portable and accurate imaging and depth sensing systems is crucial for advancing next-generation virtual reality devices. This work demonstrates an intelligent, lightweight, and compact edge-enhanced depth perception system that utilizes a binocular meta-lens for spatial computing. The miniaturized system comprises a binocular meta-lens, a 532 nm filter, and a CMOS sensor. For disparity computation, we propose a stereo-matching neural network with a novel H-Module. The H-Module incorporates an attention mechanism into the Siamese network. The symmetric architecture, with cross-pixel interaction and cross-view interaction, enables a more comprehensive analysis of contextual information in stereo images. Based on spatial intensity discontinuity, the edge enhancement eliminates illposed regions in the image where ambiguous depth predictions may occur due to a lack of texture. With the assistance of deep learning, our edge-enhanced system provides prompt responses in less than 0.15 seconds. This edge-enhanced depth perception meta-lens imaging system will significantly contribute to accurate 3D scene modeling, machine vision, autonomous driving, and robotics development.

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Planar Zintl-phase high-temperature thermoelectric materials XCuSb(X=Ca,Sr,Ba)with low lattice thermal conductivity

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Journal of Advanced Ceramics 2022年第10期11卷 1604-1612页

作者： Sikang ZHENG Kunling PENG Shijuan XIAO Zizhen ZHOU Xu LU Guang HAN Bin ZHANG Guoyu WANG Xiaoyuan ZHOU College of Physics and center of Quantum Materials&devices Chongqing UniversityChongqing 401331China Chongqing Institute of Green and intelligent Technology Chinese Academy of SciencesChongqing 400714China College of Materials Science and Engineering Chongqing UniversityChongqing 400045China Analytical and Testing center Chongqing UniversityChongqing 401331China Interdisciplinary center for Fundamental and Frontier Sciences Nanjing University of Science and TechnologyJiangyin 214443China

A recent discovery of high-performance Mg_(3)Sb_(2) has ignited tremendous research activities in searching for novel Zintl-phase compounds as promising thermoelectric ***,a series of planar Zintl-phase XCuSb(X=Ca,Sr,Ba)thermoelectric materials are developed by vacuum induction *** these compounds exhibit high carrier mobilities and intrinsic low lattice thermal conductivities(below 1 W·m^(−1)·K^(−1) at 1010 K),resulting in peak p-type zT values of 0.14,0.30,and 0.48 for CaCuSb,SrCuSb,and BaCuSb,*** using BaCuSb as a prototypical example,the origins of low lattice thermal conductivity are attributed to the strong interlayer vibrational anharmonicity of Cu–Sb honeycomb ***,the first-principles calculations reveal that n-type BaCuSb can achieve superior thermoelectric performance with the peak zT beyond 1.1 because of larger conducting band *** work sheds light on the high-temperature thermoelectric potential of planar Zintl compounds,thereby stimulating intense interest in the investigation of this unexplored material family for higher zT values.

关键词： Zintl-phase thermoelectric materials honeycomb lattice intrinsic lowκ_(L)

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Efficient hydrogen peroxide production enabled by exploring layered metal telluride as two electron oxygen reduction reaction electrocatalyst

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Journal of Energy Chemistry 2023年第12期87卷 247-255,I0007页

作者： Yingming Wang Hongyuan Yang Zhiwei Liu Kui Yin Zhaowu Wang Hui Huang Yang Liu Zhenhui Kang Ziliang Chen Institute of Functional Nano and Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-based Functional Materials and DevicesJoint International Research Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123JiangsuChina School of Physics and Engineering Longmen Laboratory Henan University of Science and TechnologyLuoyang 471023HenanChina Macao Institute of Materials Science and Engineering(MIMSE) MUST-SUDA Joint Research Center for Advanced Functional MaterialsMacao University of Science and TechnologyTaipa 999078MacaoChina Suzhou Weimu intelligent System Co. Ltd.Suzhou 215123JiangsuChina

It is of great interest to develop the novel transition metal-based electrocatalysts with high selectivity and activity for two electron oxygen reduction reaction(2e^(-) ORR).Herein,the nickel ditelluride(NiTe_(2)) with layered structure was explored as the 2e^(-) ORR electrocatalyst,which not only showed the highest 2e^(-) selectivity more than 97%,but also delivered a slight activity decay after 5000 cycles in alkaline ***,when NiTe_(2) was assembled as the electrocatalyst in H-type electrolyzer,the on-site yield of H_(2)O_(2) could reach up to 672 mmol h^(-1)g^(-1) under 0.45 V *** in situ Raman spectra,theoretical calculation and post microstructural analysis synergistically unveiled that such a good 2e^(-) ORR performance could be credited to the intrinsic layered crystal structure,the high compositional stability,as well as the electron modulation on the active site Ni atoms by neighboring Te atoms,leading to the exposure of active sites as well as the optimized adsorption free energy of Ni to –*** inspiringly,such telluride electrocatalyst has also been demonstrated to exhibit high activity and selectivity towards 2e^(-) ORR in neutral media.

关键词： Transition metal telluride Oxygen reduction reaction Charge polarization Activity and selectivity Hydrogen peroxide

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Perpendicular magnetic anisotropy based spintronics devices in Pt/Co stacks under different hard and flexible substrates

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Science China(Information Sciences) 2023年第2期66卷 256-266页

作者： Sylvain EIMER Houyi CHENG Jinji LI Xueying ZHANG Chao ZHAO Weisheng ZHAO Hefei Innovation research Institute Anhui High Reliability Chips Engineering LaboratoryBeihang University Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and EngineeringBeihang University School of Physics and Quantum Information research center Southeast University Truth Instruments Co.Ltd. Beihang-Geortek Joint Microelectronics Institute Qingdao Research InstituteBeihang University Beijing Superstring Academy of Memory Technology

The magnetic properties in substrate/Pt/Co multilayers, such as perpendicular magnetic anisotropy(PMA), are of particular interest for spintronic devices. In particular, it is important to obtain a strong PMA on the flexible substrate in the field of wearable devices and structural health ***, the different stacks deposition and regulation conditions on the magnetic properties of the films lack systematic research. Here, we investigate the magnetic properties in Pt/Co structures with different hard and flexible substrates, layer thicknesses, and the different deposition temperatures of the buffer *** found that the coercive field and magnetodynamic behavior of the films change with these factors. Moreover, depositing the buffer layer under high temperature can effectively adjust the crystalline state of the films, thus affecting the performance of the films. After depositing the buffer layer at 800℃, our films can obtain a better crystalline state and PMA. The measurement results of the magneto-optical Kerr microscope show that the magnetic domain wall motion of the films can be controlled by different substrate and buffer layer conditions. It was expected that ultra-fast magnetic moment switching can be achieved by optimizing the conditions to reduce the power consumption of the device. The experimental results also show that the optimized film conditions can also obtain strong PMA on the flexible substrate. These findings help to understand magnetic properties in these structures and show the promising prospect for wearable devices and other spintronic devices.

关键词： Pt/Co stacks perpendicular magnetic anisotropy magnetodynamicbehavior spintronics flexible devices high temperature deposition

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Air-stable synaptic devices based on bismuth triiodide and carbon nanotubes

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Nano research 2022年第6期15卷 5435-5442页

作者： Dandan Hao Junyao Zhang Li Li Ben Yang Pu Guo Shiqi Zhang Jia Huang Interdisciplinary Materials research center School of Materials Science and EngineeringFrontiers Science Center for Intelligent Autonomous SystemsTongji UniversityShanghai 201804China Translational research Institute of Brain and Brain-Like Intelligence Shanghai Fourth People’s Hospital Affiliated to Tongji UniversitySchool of Materials Science and EngineeringTongji UniversityShanghai 200434China

Artificial synaptic devices with the functions of emulating important biological synaptic behaviors are playing an increasingly important role in the development of neuromorphic computing ***-walled carbon nanotubes(SWCNTs)with excellent electrical properties and high stability have been studied as active materials for synaptic ***,the performance of optical synaptic devices(OSDs)based on pure SWCNTs is limited by the weak light absorption ***,bismuth triiodide(BiI_(3)),an environmentally stable and friendly optoelectronic material,is firstly combined with SWCNTs to fabricate OSDs with decent properties of perceiving and memorizing optical *** OSDs can exhibit typical synaptic behaviors including excitatory postsynaptic current,paired-pulse facilitation,and short/long-term ***,the photoresponse of the OSD is independent of pulse light wavelength in the range of 365 to 650 nm,different from most of the previously reported OSDs,which usually have wavelength-dependent ***-dependent photo-response behaviors of the devices are ***,the OSD without encapsulation holds good excitatory post-synaptic current(EPSC)behavior after being stored in the ambient environment for 170 days,indicating reliable environmental ***,an OSD array with nine synaptic devices is employed to mimic the human visual perception and memory *** results suggest the feasibility of BiI3/SWCNTs-based OSDs for the simulation of human visual memory.

关键词： semiconducting single-walled carbon nanotubes bismuth triiodide optical synaptic devices stability human visual memory

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Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Application

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Computers, Materials & Continua 2024年第6期79卷 4197-4218页

作者： Ibraheem Al-Hejri Farag Azzedin Sultan Almuhammadi Naeem Firdous Syed Information and Computer Science Department King Fahd University of Petroleum andMineralsDhahran31261Saudi Arabia center for Cyber Resilience and Trust(CREST) Deakin UniversityGeelong3220Australia

The use of the Internet of Things(IoT)is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of *** critical infrastructure domains like oil and gas supply,intelligent transportation,power grids,and autonomous agriculture,it is essential to guarantee the confidentiality,integrity,and authenticity of data collected and ***,the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic ***,designing a lightweight secure data transmission scheme is becoming *** this article,we propose lightweight secure data transmission(LSDT)scheme for IoT *** consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement *** design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation *** and performance analysis indicates that the LSDT scheme is secure,suitable for IoT applications,and performs better in comparison to other related security schemes.

关键词： IoT lightweight computation complexity communication overhead cybersecurity threats threat prevention secure data transmission Wireless Sensor Networks(WSNs) elliptic curve cryptography

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A Causal Fusion Inference Method for Industrial Alarm Root Cause Analysis Based on Process Topology and Alarm Event Data

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Journal of Beijing Institute of Technology 2022年第4期31卷 371-381页

作者： Pan Zhang Wenkai Hu Xiangxiang Zhang Jianqi An School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and intelligent Automation for Complex Systems Wuhan 430074China Engineering research center of intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

Modern industrial systems are usually in large scale,consisting of massive components and variables that form a complex system *** to the interconnections among devices,a fault may occur and propagate to exert widespread influences and lead to a variety of *** the root causes of alarms is beneficial to the decision supports in making corrective alarm *** data-driven methods for alarm root cause analysis detect causal relations among alarms mainly based on historical alarm event *** improve the accuracy,this paper proposes a causal fusion inference method for industrial alarm root cause analysis based on process topology and alarm events.A Granger causality inference method considering process topology is exploited to find out the causal relations among *** topological nodes are used as the inputs of the model,and the alarm causal adjacency matrix between alarm variables is obtained by calculating the likelihood of the topological Hawkes *** root cause is then obtained from the directed acyclic graph(DAG)among alarm *** effectiveness of the proposed method is verified by simulations based on both a numerical example and the Tennessee Eastman process(TEP)model.

关键词： roots cause analysis causality inference process topology alarm events

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